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Robust dynamic dispatch strategy for multi-uncertainties integrated energy microgrids based on enhanced hierarchical model predictive control

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  • Zhao, Zhuoli
  • Xu, Jiawen
  • Lei, Yu
  • Liu, Chang
  • Shi, Xuntao
  • Lai, Loi Lei

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  • Zhao, Zhuoli & Xu, Jiawen & Lei, Yu & Liu, Chang & Shi, Xuntao & Lai, Loi Lei, 2025. "Robust dynamic dispatch strategy for multi-uncertainties integrated energy microgrids based on enhanced hierarchical model predictive control," Applied Energy, Elsevier, vol. 381(C).
    • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s030626192402525x
    DOI: 10.1016/j.apenergy.2024.125141
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    References listed on IDEAS

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    1. Lu, Qing & Guo, Qisheng & Zeng, Wei, 2022. "Optimization scheduling of integrated energy service system in community: A bi-layer optimization model considering multi-energy demand response and user satisfaction," Energy, Elsevier, vol. 252(C).
    2. Dong, Xing & Zhang, Chenghui & Sun, Bo, 2022. "Optimization strategy based on robust model predictive control for RES-CCHP system under multiple uncertainties," Applied Energy, Elsevier, vol. 325(C).
    3. Wang, Can & Wang, Mingchao & Wang, Aoqi & Zhang, Xiaojia & Zhang, Jiaheng & Ma, Hui & Yang, Nan & Zhao, Zhuoli & Lai, Chun Sing & Lai, Loi Lei, 2025. "Multiagent deep reinforcement learning-based cooperative optimal operation with strong scalability for residential microgrid clusters," Energy, Elsevier, vol. 314(C).
    4. Bustos, Roberto & Marín, Luis G. & Navas-Fonseca, Alex & Reyes-Chamorro, Lorenzo & Sáez, Doris, 2023. "Hierarchical energy management system for multi-microgrid coordination with demand-side management," Applied Energy, Elsevier, vol. 342(C).
    5. Bo, Yaolong & Xia, Yanghong & Wei, Wei & Li, Zichen & Zhao, Bo & Lv, Zeyan, 2023. "Hyperfine optimal dispatch for integrated energy microgrid considering uncertainty," Applied Energy, Elsevier, vol. 334(C).
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    Cited by:

    1. Wang, Canghong & Zhang, Yuwei & Yang, Shuo & Zhao, Lin & Nicolas, Kloss & Zhu, Zhiliang, 2025. "Mitigation of carbon footprint in hybrid vehicle-dominated distribution systems via P2G technology and virtual assets," Energy, Elsevier, vol. 319(C).
    2. Lei Zhang & Yuxing Yuan & Su Yan & Hang Cao & Tao Du, 2025. "Advances in Modeling and Optimization of Intelligent Power Systems Integrating Renewable Energy in the Industrial Sector: A Multi-Perspective Review," Energies, MDPI, vol. 18(10), pages 1-50, May.
    3. Wang, Can & Liu, Yuzheng & Zhang, Yu & Xi, Lei & Yang, Nan & Zhao, Zhuoli & Lai, Chun Sing & Lai, Loi Lei, 2025. "Strategy for optimizing the bidirectional time-of-use electricity price in multi-microgrids coupled with multilevel games," Energy, Elsevier, vol. 323(C).
    4. Wang, Peng & Wu, Jiaqi & Ding, Yihong & Wang, Haili, 2025. "A time-series dynamic optimization model for distributed photovoltaic capacity planning considering the coupling of capacity and sales price," Renewable Energy, Elsevier, vol. 246(C).
    5. Lele Wang & Dongqing Zhang, 2025. "Enhancing Wind Power Forecasting Accuracy Based on OPESC-Optimized CNN-BiLSTM-SA Model," Mathematics, MDPI, vol. 13(13), pages 1-24, July.

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